Improved amyloid burden quantification with nonspecific estimates using deep learning

10.1007/s00259-020-05131-z

Saved in:
Bibliographic Details
Main Authors: Liu, Haohui, Nai, Ying-Hwey, Saridin, Francis, Tanaka, Tomotaka, O' Doherty, Jim, Hilal, Saima, Gyanwali, Bibek, Chen, Christopher P, Robins, Edward G, Reilhac, Anthonin
Other Authors: SOLAR ENERGY RESEARCH INST OF S'PORE
Format: Article
Language:English
Published: SPRINGER 2022
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/218776
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-218776
record_format dspace
spelling sg-nus-scholar.10635-2187762024-04-16T05:26:43Z Improved amyloid burden quantification with nonspecific estimates using deep learning Liu, Haohui Nai, Ying-Hwey Saridin, Francis Tanaka, Tomotaka O' Doherty, Jim Hilal, Saima Gyanwali, Bibek Chen, Christopher P Robins, Edward G Reilhac, Anthonin SOLAR ENERGY RESEARCH INST OF S'PORE DEAN'S OFFICE (MEDICINE) PHARMACOLOGY SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH BIOCHEMISTRY Science & Technology Life Sciences & Biomedicine Radiology, Nuclear Medicine & Medical Imaging Alzheimer's disease Amyloid Positron emission tomography (PET) Quantification Deep learning Nonspecific uptake COGNITIVE IMPAIRMENT BRAIN SEGMENTATION PERFORMANCE DISEASE 10.1007/s00259-020-05131-z EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 6 1842-1853 2022-04-08T08:18:34Z 2022-04-08T08:18:34Z 2021-01-07 2022-04-08T03:11:09Z Article Liu, Haohui, Nai, Ying-Hwey, Saridin, Francis, Tanaka, Tomotaka, O' Doherty, Jim, Hilal, Saima, Gyanwali, Bibek, Chen, Christopher P, Robins, Edward G, Reilhac, Anthonin (2021-01-07). Improved amyloid burden quantification with nonspecific estimates using deep learning. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 48 (6) : 1842-1853. ScholarBank@NUS Repository. https://doi.org/10.1007/s00259-020-05131-z 1619-7070 1619-7089 https://scholarbank.nus.edu.sg/handle/10635/218776 en SPRINGER Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Life Sciences & Biomedicine
Radiology, Nuclear Medicine & Medical Imaging
Alzheimer's disease
Amyloid
Positron emission tomography (PET)
Quantification
Deep learning
Nonspecific uptake
COGNITIVE IMPAIRMENT
BRAIN
SEGMENTATION
PERFORMANCE
DISEASE
spellingShingle Science & Technology
Life Sciences & Biomedicine
Radiology, Nuclear Medicine & Medical Imaging
Alzheimer's disease
Amyloid
Positron emission tomography (PET)
Quantification
Deep learning
Nonspecific uptake
COGNITIVE IMPAIRMENT
BRAIN
SEGMENTATION
PERFORMANCE
DISEASE
Liu, Haohui
Nai, Ying-Hwey
Saridin, Francis
Tanaka, Tomotaka
O' Doherty, Jim
Hilal, Saima
Gyanwali, Bibek
Chen, Christopher P
Robins, Edward G
Reilhac, Anthonin
Improved amyloid burden quantification with nonspecific estimates using deep learning
description 10.1007/s00259-020-05131-z
author2 SOLAR ENERGY RESEARCH INST OF S'PORE
author_facet SOLAR ENERGY RESEARCH INST OF S'PORE
Liu, Haohui
Nai, Ying-Hwey
Saridin, Francis
Tanaka, Tomotaka
O' Doherty, Jim
Hilal, Saima
Gyanwali, Bibek
Chen, Christopher P
Robins, Edward G
Reilhac, Anthonin
format Article
author Liu, Haohui
Nai, Ying-Hwey
Saridin, Francis
Tanaka, Tomotaka
O' Doherty, Jim
Hilal, Saima
Gyanwali, Bibek
Chen, Christopher P
Robins, Edward G
Reilhac, Anthonin
author_sort Liu, Haohui
title Improved amyloid burden quantification with nonspecific estimates using deep learning
title_short Improved amyloid burden quantification with nonspecific estimates using deep learning
title_full Improved amyloid burden quantification with nonspecific estimates using deep learning
title_fullStr Improved amyloid burden quantification with nonspecific estimates using deep learning
title_full_unstemmed Improved amyloid burden quantification with nonspecific estimates using deep learning
title_sort improved amyloid burden quantification with nonspecific estimates using deep learning
publisher SPRINGER
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/218776
_version_ 1800915358646796288